Posted:1 week ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

Role description


Exp 5 8 yr


Location Hyd


JD Pyspark developer to work on a range of datadriven projects using PysparkSQLPython and Apache Airflow for Job scheduling and orchestration on Google Cloud PlatformGCPIn this this role you will be responsible for implementing data pipelines processing large datasets writing sql queries and ensuring smooth orchestration and automation of jobs using Airflow


Required Skills Qualifications


Experience with Pyspark for data processing and largescale data processing


Proficiency in SQL for writing complex queries and optimizing database operations


Strong knowledge of Python and experience in using Python libraries like Pandas and Numpy


Handsonexperience with Apache Airflow for job scheduling DAG creation and workflow management


experience working with Google Cloud PlatformGCP including Goolg Cloud StorageGCS BigQuery Dataflow and Dataproc


Strong understanding of ETL processes and data pipeline development


Familiarity with version control systems like Git



Skills


Mandatory Skills : GCP Storage,GCP BigQuery,GCP DataProc,GCP Cloud Composer,GCP DMS,Apache airflow,Java,Python,Scala,GCP Datastream,Google Analytics Hub,GCP Workflows,GCP Dataform,GCP Datafusion,GCP Pub/Sub,ANSI-SQL,GCP Dataflow,GCP Data Flow,GCP Cloud Pub/Sub,Big Data Hadoop Ecosystem

Mock Interview

Practice Video Interview with JobPe AI

Start PySpark Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

RecommendedJobs for You

Hyderabad, Telangana, India

Hyderabad, Telangana, India